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4,111 to 4,120 of 4,722 Results

07AspectualTypeRCode.txt Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics Plain Text - 1.0 KB - MD5: 7b8311ae9ba8116a38fbcb5b649b84b6 Code This file gives the R code for the statistical tests of punctual verbs reported in footnotes 16-17 in section 5.2 of the article, which analyzes the importance of aspectual types (Vendler-inspired classes) for the choice of temporal adverbial construction.
08DecadeCARTandTreeForestRCode.txt Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics Plain Text - 1.7 KB - MD5: 3cfb77e0b81be5af9526f2a20190a952 Code This is the R code for the CART and Tree and Forest analysis reported in section 6 (footnote 18, Figure 7), which investigates the importance of a number of factors for the choice of temporal adverbial construction.
09DecadeCARTandTreeForestOnePerAuthorRCode.txt Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics Plain Text - 1.1 KB - MD5: 14001df1f1a9804e1675e12a671ada6c Code This file contains the R code reported in figure 8 in section 6 of the article, which investigates the importance of genre for the choice of temporal adverbial construction. This file has one example per author.
Replication Data for: Predicting Russian aspect by frequency across genres Dec 3, 2017 Eckhoff, Hanne; Janda, Laura; Lyashevskaya, Olga Nikolayevna, 2017, "Replication Data for: Predicting Russian aspect by frequency across genres", https://doi.org/10.18710/BIIGT6, DataverseNO, V1, UNF:6:TCa0jCAvvGll3zm3uYltvg== [fileUNF] We ask whether the aspect of individual verbs can be predicted based on the statistical distribution of their inflectional forms and how this is influenced by genre. To address these questions, we present an analysis of the “grammatical profiles” (relative frequency distributions...
00_readme_file.txt Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres Plain Text - 6.7 KB - MD5: 0056eb814b59e1a3745853fab85496a6 Documentation ReadMe file for dataset, whith description of the individual files.
01journ.r Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres R Syntax - 2.9 KB - MD5: 93150fdfd7e47d969d9bdf99bc10005f R script that analyses the data from the journalistic register (rus.journ.tab, original format csv).
02fic.r Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres R Syntax - 2.9 KB - MD5: 70537a260531e957d68f3532b2587a4b R script that analyses the data from the fiction register (rus.fiction.tab, original format csv).
03scitech.r Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres R Syntax - 3.5 KB - MD5: 50b6fb2ee6e498085b53cb030db06fa5 R script that analyses the data from the scientific-technical register (rus.scitech_corrected.tab, original format csv).
04verbtags.r Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres R Syntax - 5.7 KB - MD5: 5f50d30c39beb01d7c7fe869b693cab9 R script that takes care of the analysis of verbs by derivational morpology and semantics. Uses the three dataset files fic50_factor1tagged.tab, journ50_factor1tagged.tab and scitech50_factor1tagged.tab (original format csv).
fic50factor1tagged.tab Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres Tabular Data - 12.4 KB - 8 Variables, 225 Observations - UNF:6:FcLokpcNo9/lqGqnJr8/Fg== Lemmas from the fiction dataset with a frequency of 50+, tagged for a number of features. Columns: lemma (verb lemma), factor1 (factor 1 coordinate value from the correspondence analysis) asp (aspect label tag, levels: i(mperfective), p(erfective), b(iaspectual)) freq (fre...

07AspectualTypeRCode.txt

Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics

Plain Text - 1.0 KB -

Code

This file gives the R code for the statistical tests of punctual verbs reported in footnotes 16-17 in section 5.2 of the article, which analyzes the importance of aspectual types (Vendler-inspired classes) for the choice of temporal adverbial construction.

08DecadeCARTandTreeForestRCode.txt

Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics

Plain Text - 1.7 KB -

Code

This is the R code for the CART and Tree and Forest analysis reported in section 6 (footnote 18, Figure 7), which investigates the importance of a number of factors for the choice of temporal adverbial construction.

09DecadeCARTandTreeForestOnePerAuthorRCode.txt

Dec 19, 2017 - Replication Data for: The decade construction rivalry in Russian: Using a corpus to study historical linguistics

Plain Text - 1.1 KB -

Code

This file contains the R code reported in figure 8 in section 6 of the article, which investigates the importance of genre for the choice of temporal adverbial construction. This file has one example per author.

Replication Data for: Predicting Russian aspect by frequency across genres

Dec 3, 2017

Eckhoff, Hanne; Janda, Laura; Lyashevskaya, Olga Nikolayevna, 2017, "Replication Data for: Predicting Russian aspect by frequency across genres", https://doi.org/10.18710/BIIGT6, DataverseNO, V1, UNF:6:TCa0jCAvvGll3zm3uYltvg== [fileUNF]

We ask whether the aspect of individual verbs can be predicted based on the statistical distribution of their inflectional forms and how this is influenced by genre. To address these questions, we present an analysis of the “grammatical profiles” (relative frequency distributions...

00_readme_file.txt

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

Plain Text - 6.7 KB -

Documentation

ReadMe file for dataset, whith description of the individual files.

01journ.r

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

R Syntax - 2.9 KB -

R script that analyses the data from the journalistic register (rus.journ.tab, original format csv).

02fic.r

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

R Syntax - 2.9 KB -

R script that analyses the data from the fiction register (rus.fiction.tab, original format csv).

03scitech.r

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

R Syntax - 3.5 KB -

R script that analyses the data from the scientific-technical register (rus.scitech_corrected.tab, original format csv).

04verbtags.r

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

R Syntax - 5.7 KB -

R script that takes care of the analysis of verbs by derivational morpology and semantics. Uses the three dataset files fic50_factor1tagged.tab, journ50_factor1tagged.tab and scitech50_factor1tagged.tab (original format csv).

fic50factor1tagged.tab

Dec 3, 2017 - Replication Data for: Predicting Russian aspect by frequency across genres

Tabular Data - 12.4 KB - 8 Variables, 225 Observations -

Lemmas from the fiction dataset with a frequency of 50+, tagged for a number of features. Columns: lemma (verb lemma), factor1 (factor 1 coordinate value from the correspondence analysis) asp (aspect label tag, levels: i(mperfective), p(erfective), b(iaspectual)) freq (fre...

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